Alibaba Cloud’s ET City Brain - Empowering Cities to Think
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The document discusses Alibaba's ET City Brain, an advanced data intelligence platform that leverages big data and AI for urban management and traffic optimization. It highlights various applications including real-time traffic perception, incident detection, and public transportation efficiency improvements across multiple cities. The ET City Brain aims to enhance city operations through integrated data systems and predictive analytic capabilities.
Alibaba Cloud’s ET City Brain - Empowering Cities to Think
- 1. Introduction to Alibaba ET City Brain Jingmei Li, Alibaba Cloud | September 5th, 2018
- 2. Cloud Computing Big Data AI ET Brain – Evolution of Data Intelligence
- 3. Footprints of Alibaba ET Brain 2017.122017.062017.032016.102016.082016.04 Small Ai ET Debut ET City Brain ET Industrial Brain ET Environment Brain ET Aviation Brain ET Agricultural Brain 2018.6
- 4. A Closed-loop Data Intelligence Sense Wisdom Action
- 5. AI Capability for ET Brain § GN4 (GPU Server) § GN5 (GPU Server) § GN5i(GPU Server) § FPGA Image / Video Recognition Image Search Image Tagging OCR ASR / TTS / NLP PAI And more… § AI § Quantum Computing § Autonomous Driving § Block-chain § Others
- 6. ET Brain For Verticals Industry Agriculture New RetailFinance Tourism City Environment Aviation Healthcare Logistics Energy
- 7. ET City Brain Solution Architecture Intelligent Engine Platform Multi-source Data Dusion Bus Map Taxi Special Truck Shuttle Bus Surveilance System Traffic Light Traffic Light Control 视频 数据 Traffic Policeman Image … … Traffic Data Computing Cluster Police Video Network Traffic Light Control systm Electronic Police SystemTraffic Manageent Taxi Management System Management Network OthersInternet Road Traffic Others Public Transport Bus Scheduling System Telecom Provider Weather Bureau Traffic Light Optimization Crossroads Data Network Gateway Real time GPS DataHistory GPS Data Historical Data Bus GPS Historical Data Bus GPS Real time data Map Data Video Lights Timing Incident Detection Traffic Condition Perception Real-time Road Situation Special Vehicle Traffic Guiding others Applications Data Resource Platform Data Standard Data Model Data Monitoring Data Directory Data Integration Data Wrangling Data Exchange Data Security Base station Data Bus GPS Data Map structure data Shuttle Bus GPS Data Traffic Light historical Data Bus Route Data Traffic Data Special Vehicle GPS Data Taxi GPS Data Video/Image Data Real-time Event Alerts Simulation engine Traffic Control Optimization Command & Dispatch Algorithm Templates Video Analysis Engine Platform Configuration Version Mgmt. Others … Base station Data Quality Data Assets
- 8. Demo
- 9. Highlight Scenarios of ET City Brain Traffic Perception - Traffic Light Optimization Traffic Perception and Optimization Proactive Incident Detection and Response - Passenger Volume Monitoring and Prediction - On-demand Green Wave for Priority Vehicles Bus Route and Schedule Optimization Incident Detection and Response Public Transportation OptimizationHazardous and Suspicious Vehicle Tracking Hit-and-Run Vehicle Tracking - Hazardous Vehicle Tracking 1 2 3 4
- 10. Highlight Scenarios of ET City Brain Traffic Perception - Traffic Light Optimization Traffic Perception and Optimization Proactive Incident Detection and Response - Passenger Volume Monitoring and Prediction - On-demand Green Wave for Priority Vehicles Bus Route and Schedule Optimization Incident Detection and Response Public Transportation OptimizationHazardous and Suspicious Vehicle Tracking Hit-and-Run Vehicle Tracking - Hazardous Vehicle Tracking 1 2 3 4
- 11. Traffic Perception (1/2) Time Series at Links Time Series at Check PointsVolume, Speed Volume Vehicle on RoadEfficiency Index - Link, Junction, Area Static Vehicle Volume (Origin – Destination) OD Analysis 2. Volume 3. Travel Pattern Data Sources Algorithms Speed - Highway, Local Routes Road Surveillance NetworkVehicle Route Integration Microwave Sensor Loop Detector Vehicle Passing Intersection 1. Efficiency 1
- 12. Traffic Perception (2/2) • Taxi / Bus GPS • Internet Navigator • Video Recognized Trajectory Trajectory • Video Recognized Metrics • Traffic Sensor Metrics Volume / Speed Enhanced Trajectory Adjusted Traffic Metrics Traffic Lights Timing Allocation Final Traffic Index Merge Merge 1 Data Fusion Engine
- 13. Single Intersection Optimization • Queue length as the main optimization purpose • Pedestrian time considering Traffic Light Optimization (1/2) Subarea Optimization • Intersections coordination • Flow volume control Protocol Layer • Timing Configuration Output • Configuration Condition Monitor Area Optimization • Subareas coordination • Area entering control at the area border Traffic Perception Traffic Light Control System • Fixed Time Range • Adaptive Timing Base • Emergency Timing 1
- 14. Holistic Optimization in Areas Traffic Light Optimization (2/2) • Optimization plan updated every 15 mins • Congestion rate in peak hours reduced by 9.2% • Average travel time reduced by 3 mins Single Intersection Optimization Hangzhou City Brain 1
- 15. Highlight Scenarios of ET City Brain Traffic Perception - Traffic Light Optimization Traffic Perception and Optimization Proactive Incident Detection and Response - Passenger Volume Monitoring and Prediction - On-demand Green Wave for Priority Vehicles Bus Route and Schedule Optimization Incident Detection and Response Public Transportation OptimizationHazardous and Suspicious Vehicle Tracking Hit-and-Run Vehicle Tracking - Hazardous Vehicle Tracking 1 2 3 4
- 16. Proactive Incident Detection and Response (1/2) • 3500 traffic cameras – beyond human capability to monitor • Spherical camera auto patrol: 360°, 24*7 hours • Supporting recognition of 12 types of events Proactive Incident Response Hangzhou Downtown 500+ incident reports daily with 92% accuracy based on real-time video recognition Average passing time reduced by 15.3% 2
- 17. Proactive Incident Detection and Response (2/2) 2
- 18. Green Wave for Priority Vehicles (1/2) GPS Route Planning Evaluation Ambulance Fire Engine Vehicle Dispatch Incident Detection Signal Light Coordination Multi emergency service collaboration 2
- 19. Green Wave for Priority Vehicles (2/2) Travel time of emergency vehicles reduced by 50% in Xiaoshan • Right before ambulance arrival Traffic lights are locked green in a bit advance to clear the traffic flow of same direction • After ambulance passing by Traffic lights resume normal functions to minimize the impact on adjacent roads 2
- 20. Passenger Volume Monitoring and Prediction (1/2) Video Stream Station WiFi Gate Passing Passenger Counting Moving Speed Crowds Counting Est. Video Recognition Crowds Prediction Data Sources Monitoring Visualization Real-time Monitoring Crowdedness Alert Prediction Alert 2
- 21. Passenger Volume Monitoring and Prediction (2/2) Security Monitoring Crowdedness Alert Current Passengers Flow Speed Total Passengers of Today In-station Analysis Prediction in 5 mins Passengers Crowdedness Density Speed Passenger Volume of Shanghai Metro Station Line 2 2
- 22. Highlight Scenarios of ET City Brain Traffic Perception - Traffic Light Optimization Traffic Perception and Optimization Proactive Incident Detection and Response - Passenger Volume Monitoring and Prediction - On-demand Green Wave for Priority Vehicles Bus Route and Schedule Optimization Incident Detection and Response Public Transportation OptimizationHazardous and Suspicious Vehicle Tracking Hit-and-Run Vehicle Tracking - Hazardous Vehicle Tracking 1 2 3 4
- 23. Tracking Down Hit-and-Run Vehicles License plate： 浙AD03** (Input Image) South to North(10:21:59) North to South (10:33:42) North to South (10:34:48) North to South (10:37:09) North to South (10:38:42) West to East (10:44:08) South to North (10:46:06) South to North (10:47:16) Accident Example 1. Accident Detection 2. Hit-and-Run Tracking 3
- 25. Highlight Scenarios of ET City Brain Traffic Perception - Traffic Light Optimization Traffic Perception and Optimization Proactive Incident Detection and Response - Passenger Volume Monitoring and Prediction - On-demand Green Wave for Priority Vehicles Bus Route and Schedule Optimization Incident Detection and Response Public Transportation Optimization Hazardous and Suspicious Vehicle Tracking Hit-and-Run Vehicle Tracking - Hazardous Vehicle Tracking 1 2 3 4
- 26. Bus Route and Schedule Optimization Architecture Telecom Data Card Tap in and out Bus Capacity Bus GPS Map Application Data Source Population Density Bus Commuter OD Others OD Share of Travelling by Bus Travel Time Comparison Time of Travel OD Analysis - Demand Key Measures Bus Schedule Optimization Optimization Bus Frequency Demand and Supply Matching Bus Transp. Capacity Bus Capacity - Supply Taxi Application Density at Bus Stops Bus Route Optimization Bus Lane Optimization 4
- 27. +17% more passengers on trial routes Optimization of Bus Routing and Scheduling in Suzhou 4
- 29. Expanding ET City Brain for Other Verticals Traffic & Transportation OD Pattern, Crowds Density Vehicle Profile & GPS Traffic Perception & Prediction Command Workflow Public Transportation Scheduling & Routing Tourism • Scenic Spot Heat Map • Tourism Facility Management Airport/Subway/ Railway • Operation Scheduling • Crowd Management Public Security • Event Management • Incident Prevention City Administration • Smart Parking • Green Travelling The data resource and computing capabilities can be expanded to support other sectors of the city.
- 30. Alibaba Cloud Big Data and AI Products and Technologies